IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v035i07.html
   My bibliography  Save this article

Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms

Author

Listed:
  • Santana, Roberto
  • Bielza, Concha
  • Larrañaga, Pedro
  • Lozano, Jose A.
  • Echegoyen, Carlos
  • Mendiburu, Alexander
  • Armañanzas, Rubén
  • Shakya, Siddartha

Abstract

This paper describes Mateda-2.0, a MATLAB package for estimation of distribution algorithms (EDAs). This package can be used to solve single and multi-objective discrete and continuous optimization problems using EDAs based on undirected and directed probabilistic graphical models. The implementation contains several methods commonly employed by EDAs. It is also conceived as an open package to allow users to incorporate different combinations of selection, learning, sampling, and local search procedures. Additionally, it includes methods to extract, process and visualize the structures learned by the probabilistic models. This way, it can unveil previously unknown information about the optimization problem domain. Mateda-2.0 also incorporates a module for creating and validating function models based on the probabilistic models learned by EDAs.

Suggested Citation

  • Santana, Roberto & Bielza, Concha & Larrañaga, Pedro & Lozano, Jose A. & Echegoyen, Carlos & Mendiburu, Alexander & Armañanzas, Rubén & Shakya, Siddartha, 2010. "Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 35(i07).
    • Handle: RePEc:jss:jstsof:v:035:i07
    DOI: http://hdl.handle.net/10.18637/jss.v035.i07
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v035i07/v35i07.pdf
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v035i07/Mateda2.0.zip
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v035i07/v35i07.m
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v035i07/FindClassifier.m
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v035i07/lungcancer.dat
    Download Restriction: no
    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v035.i07?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gao, Shujun & de Silva, Clarence W., 2018. "Estimation distribution algorithms on constrained optimization problems," Applied Mathematics and Computation, Elsevier, vol. 339(C), pages 323-345.
    2. Gonzalez-Fernandez, Yasser & Soto, Marta, 2014. "copulaedas: An R Package for Estimation of Distribution Algorithms Based on Copulas," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i09).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jss:jstsof:v:035:i07. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: http://www.jstatsoft.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.